Background Previous congenital heart disease estimates came from few data sources, were geographically narrow, and did not evaluate congenital heart disease throughout the life course. Completed as part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017, this study aimed to provide comprehensive estimates of congenital heart disease mortality, prevalence, and disability by age for 195 countries and territories from 1990 to 2017. Methods Mortality estimates were generated for aggregate congenital heart disease and non-fatal estimates for five subcategories (single ventricle and single ventricle pathway congenital heart anomalies; severe congenital heart anomalies excluding single ventricle heart defects; critical malformations of great vessels, congenital valvular heart disease, and patent ductus arteriosus; ventricular septal defect and atrial septal defect; and other congenital heart anomalies), for 1990 through to 2017. All available global data were systematically analysed to generate congenital heart disease mortality estimates (using Cause of Death Ensemble modelling) and prevalence estimates (DisMod-MR 2•1). Systematic literature reviews of all types of congenital anomalies to capture information on prevalence, associated mortality, and long-term health outcomes on congenital heart disease informed subsequent disability estimates. Findings Congenital heart disease caused 261 247 deaths (95% uncertainty interval 216 567-308 159) globally in 2017, a 34•5% decline from 1990, with 180 624 deaths (146 825-214 178) being among infants (aged <1 years). Congenital heart disease mortality rates declined with increasing Socio-demographic Index (SDI); most deaths occurred in countries in the low and low-middle SDI quintiles. The prevalence rates of congenital heart disease at birth changed little temporally or by SDI, resulting in 11 998 283 (10 958 658-13 123 888) people living with congenital heart disease globally, an 18•7% increase from 1990 to 2017, and causing a total of 589 479 (287 200-973 359) years lived with disability. Interpretation Congenital heart disease is a large, rapidly emerging global problem in child health. Without the ability to substantially alter the prevalence of congenital heart disease, interventions and resources must be used to improve survival and quality of life. Our findings highlight the large global inequities in congenital heart disease and can serve as a starting point for policy changes to improve screening, treatment, and data collection. Funding Bill & Melinda Gates Foundation.

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Background Congenital heart disease (CHD) is the leading cause of morbidity and mortality from birth defects worldwide. We report an overview of trends in CHD mortality in 204 countries and territories over the past 30 years and associations with age, period, and birth cohort.Methods Cause-specific CHD mortality estimates were derived from the Global Burden of Disease 2019 study. We utilised an age-period-cohort model to estimate overall annual percentage changes in mortality (net drifts), annual percentage changes from 0 to 4 to 65−69 years (local drifts), period and cohort relative risks (period/cohort effects) between 1990 and 2019. This approach allows for the examination and differentiation of age, period, and cohort effects in the mortality trends, with the potential to identify disparities and treatment gaps in cardiac care.Findings CHD is the leading cause of deaths from non-communicable diseases (NCDs) in those under 20 years. Global CHD deaths in 2019 were 217,000 (95% uncertainty interval 177,000−262,000). There were 129 countries with at least 50 deaths. India, China, Pakistan, and Nigeria had the highest mortality, accounting for 39.7% of deaths globally. Between 1990 and 2019, the net drift of CHD mortality ranged from −2.41% per year (95% confidence interval [CI] −2.55, −2.67) in high Socio-demographic Index (SDI) countries to −0.62% per year (95% CI: −0.82, −0.42) in low-SDI countries. Globally, there was an emerging transition in the age distribution of deaths from paediatric to adult populations, except for an increasing trend of mortality in those aged 10−34 years in Mexico and Pakistan. During the past 30 years, favourable mortality reductions were generally found in most high-SDI countries like South Korea (net drift = −4.0% [95% CI −4.8 to −3.1] per year) and the United States (−2.3% [−2.5 to −2.0]), and also in many middle-SDI countries like Brazil (−2.7% [−3.1 to 2.4]) and South Africa (−2.5% [−3.2 to −1.8]). However, 52 of 129 countries had either increasing trends (net drifts ≥0.0%) or stagnated reductions (≥−0.5%) in mortality. The relative risk of mortality generally showed improving trends over time and in successively younger

The etiology of congenital heart disease (CHD) is multifactorial. The birth prevalence of CHD is shaped by a wide variety of maternal, fetal, and neonatal risk factors, along with the rates of prenatal diagnosis and terminations of pregnancy, all of which have geographic variability Epidemiology data availability from low‐and‐middle‐income countries (LMIC) on CHD prevalence, morbidity, and mortality are far more limited than from high income countries. Data on specific genetic, environmental, and prenatal risk associated with CHD are almost nonexistent. In this article, we will focus on defining what data are available, genetic risk factors, birth and overall prevalence, morbidity, and the impact of limited access to interventions, both surgery and cardiac catheterizations. We will highlight CHD in sub‐Saharan Africa to detail epidemiology studies in the poorest regions of the world. Existing literature as well as estimates from the Global Burden of Disease Study (http://ghdx.healthdata.org) form the basis for this review. The intersection of poverty, high fertility rates, and limited access to care results in a unique profile of CHD in LMIC. CHD is not a preventable disease (by most standards), so early detection and access are our key interventions to improve the dire outcomes for children in low‐resources settings of the world.

Rheumatic heart disease (RHD) affects ≈40 million people and claims nearly 300 000 lives each year. The historic passing of a World Health Assembly resolution on RHD in 2018 now mandates a coordinated global response. The American Heart Association is committed to serving as a global champion and leader in RHD care and prevention. Here, we pledge support in 5 key areas: (1) professional healthcare worker education and training, (2) technical support for the implementation of evidence-based strategies for rheumatic fever/RHD prevention, (3) access to essential medications and technologies, (4) research, and (5) advocacy to increase global awareness, resources, and capacity for RHD control. In bolstering the efforts of the American Heart Association to combat RHD, we hope to inspire others to collaborate, communicate, and contribute.

Background Recent evaluation of rheumatic heart disease (RHD) mortality demonstrates disproportionate disease burden within the United States. However, there are few contemporary data on US children living with acute rheumatic fever (ARF) and RHD. Methods and Results Twenty‐two US pediatric institutions participated in a 10‐year review (2008–2018) of electronic medical records and echocardiographic databases of children 4 to 17 years diagnosed with ARF/RHD to determine demographics, diagnosis, and management. Geocoding was used to determine a census tract‐based socioeconomic deprivation index. Descriptive statistics of patient characteristics and regression analysis of RHD classification, disease severity, and initial antibiotic prescription according to community deprivation were obtained. Data for 947 cases showed median age at diagnosis of 9 years; 51% and 56% identified as male and non‐White, respectively. Most (89%) had health insurance and were first diagnosed in the United States (82%). Only 13% reported travel to an endemic region before diagnosis. Although 96% of patients were prescribed secondary prophylaxis, only 58% were prescribed intramuscular benzathine penicillin G. Higher deprivation was associated with increasing disease severity (odds ratio, 1.25; 95% CI, 1.08–1.46). Conclusions The majority of recent US cases of ARF and RHD are endemic rather than the result of foreign exposure. Children who live in more deprived communities are at risk for more severe disease. This study demonstrates a need to improve guideline‐based treatment for ARF/RHD with respect to secondary prophylaxis and to increase research efforts to better understand ARF and RHD in the United States.

ObjectiveTo evaluate the long-term clinical outcomes of children with rheumatic heart disease (RHD) in Uganda, and determine characteristics that predict adverse outcomes.MethodsThis retrospective cohort study evaluated the risk of death in Ugandan children with clinical RHD from 2010 to 2018; enrolling children aged 5–18 years old from an existing registry. Demographic data and clinical data (baseline complications, RHD severity, cardiac interventions) were collected. The primary outcome was survival. Univariable and multivariable hazard ratios (HR) were obtained from Cox proportional hazards regression. Survival probabilities were developed using Kaplan-Meier curves; log-rank tests compared survival based on cardiac interventions, disease severity and time of enrolment.Results612 cases met inclusion criteria; median age 12.8 years (IQR 5.3), 37% were male. Thirty-one per cent (187 of 612) died during the study period; median time to death 7.8 months (IQR 18.3). In univariable analysis, older age (HR 1.26, 95% CI=1.0 to 1.58), presence of baseline complications (HR 2.06, 95% CI=1.53 to 2.78) and severe RHD (HR 5.21, 95% CI=2.15 to 12.65) were associated with mortality. Cardiac intervention was associated with a lower risk of mortality (HR 0.06, 95% CI=0.02 to 0.24). In multivariable models, baseline complications (HR 1.78, 95% CI=1.31 to 2.41), severe RHD (HR 4.58, 95% CI=1.87 to 11.23) and having an intervention (HR 0.05, 95% CI=0.01 to 0.21) remained statistically significant. Kaplan-Meier survival curves demonstrated >25% mortality in the first 30 months, with significant differences in mortality based on intervention status and severity of disease.ConclusionsThe mortality rate of children with clinical RHD in Uganda exceeds 30%, over an 8-year time frame, despite in-country access to cardiac interventions. Children at highest risk were those with cardiac complications at baseline and severe RHD.

Background This study aimed to determine the impact of pulmonary complications on death after surgery both before and during the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. Methods This was a patient-level, comparative analysis of two, international prospective cohort studies: one before the pandemic (January–October 2019) and the second during the SARS-CoV-2 pandemic (local emergence of COVID-19 up to 19 April 2020). Both included patients undergoing elective resection of an intra-abdominal cancer with curative intent across five surgical oncology disciplines. Patient selection and rates of 30-day postoperative pulmonary complications were compared. The primary outcome was 30-day postoperative mortality. Mediation analysis using a natural-effects model was used to estimate the proportion of deaths during the pandemic attributable to SARS-CoV-2 infection. Results This study included 7402 patients from 50 countries; 3031 (40.9 per cent) underwent surgery before and 4371 (59.1 per cent) during the pandemic. Overall, 4.3 per cent (187 of 4371) developed postoperative SARS-CoV-2 in the pandemic cohort. The pulmonary complication rate was similar (7.1 per cent (216 of 3031) versus 6.3 per cent (274 of 4371); P = 0.158) but the mortality rate was significantly higher (0.7 per cent (20 of 3031) versus 2.0 per cent (87 of 4371); P &lt; 0.001) among patients who had surgery during the pandemic. The adjusted odds of death were higher during than before the pandemic (odds ratio (OR) 2.72, 95 per cent c.i. 1.58 to 4.67; P &lt; 0.001). In mediation analysis, 54.8 per cent of excess postoperative deaths during the pandemic were estimated to be attributable to SARS-CoV-2 (OR 1.73, 1.40 to 2.13; P &lt; 0.001). Conclusion Although providers may have selected patients with a lower risk profile for surgery during the pandemic, this did not mitigate the likelihood of death through SARS-CoV-2 infection. Care providers must act urgently to protect surgical patients from SARS-CoV-2 infection.